Generalised f-Mean Aggregation for Graph Neural Networks

Abstract

A generalised f-mean aggregation framework for graph neural networks that subsumes common aggregation functions (sum, mean, max) as special cases while enabling learnable, task-adaptive aggregation strategies.

Paper